A Novel Protocol for the Evaluation of Motor Learning in 3D Reching Tasks Using Novint Falcon

E. Scalona, F. Martelli, Z. Prete, E. Palermo, S. Rossi
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引用次数: 7

Abstract

Motor learning or motor adaptation is the capability to acquire new motor skills or the adaptation of existing motor skills to new environmental conditions. In this paper, a new protocol based on a low-cost haptic device for evaluating the motor adaptation during perturbed 3D reaching tasks was presented. The protocol consisted of three 3D reaching tasks performed using Novint Falcon: a familiarization task in which no force fieldwas applied, an adaptation task in which a perturbing force field occurred, and a wash out task with no force field. Ten healthy subjects were enrolled in the study. Subjects were asked to reach four targets equally distributed along a circumference. During the adaptation task, a constant force perpendicular to the direction of movement was applied and it was randomly removed 40 times out of 160. Trajectories of the end-effector were recorded to calculate the following kinematic indices: duration of movement, length ratio, lateral deviation, speed metric and normalized jerk. The learning index was calculated to study the motor learning during the adaptation task. Two-way repeated measure ANOVA tests were performed for all the indices considering movement directions and tasks as independent variables. Moreover, a one-way repeated measure ANOVA was performed on the learning index to find differences among the 4 target sets. The movement accuracy is influenced from both the perturbed force field and the movement direction. The smoothness of the reaching movement is influenced by the presence of the force field and decreases when it is applied. Learning index showed the capability of the subjects to rapidly adapt to a perturbed force field, generating a compensation strategy in a 3D movement.
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一种基于Novint Falcon的三维动作学习评估新方案
运动学习或运动适应是获得新的运动技能或使现有的运动技能适应新的环境条件的能力。本文提出了一种基于低成本触觉装置的新方案,用于评估摄动三维到达任务中运动的适应性。该方案由使用Novint Falcon执行的三个3D到达任务组成:一个没有施加力场的熟悉任务,一个发生扰动力场的适应任务和一个没有力场的冲洗任务。10名健康受试者参加了这项研究。受试者被要求到达四个沿圆周均匀分布的目标。在适应任务中,施加一个垂直于运动方向的恒定力,并在160次中随机移除40次。记录末端执行器的运动轨迹,以计算以下运动学指标:运动持续时间、长度比、横向偏差、速度度量和归一化抽搐。通过计算学习指数来研究适应任务中的运动学习。以运动方向和任务为自变量,对所有指标进行双向重复测量方差分析。此外,对学习指标进行单向重复测量方差分析,以发现4个目标集之间的差异。运动精度受到扰动力场和运动方向的双重影响。到达运动的平稳性受力场存在的影响,在施加力场时平稳性降低。学习指数显示了受试者快速适应扰动力场的能力,并在三维运动中产生补偿策略。
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